AI Engineering Design Specialist - CodeByte

We are looking for experienced engineers with deep design expertise to create challenging, simulation-based design problems for training and evaluating advanced AI models. The role focuses on crafting realistic engineering design tasks where a model must make genuine trade-offs, size components, and iterate against physics-based simulators to meet competing specifications.

• → Design and validate simulation-based engineering problems that require true design reasoning, with clear constraints and optimization goals.
• →Deliver complete problem sets including reference solutions, near-miss variants, edge cases, and documentation, ensure appropriate difficulty with multiple failure modes, and collaborate with researchers to refine problems based on model performance.

• Master's or PhD in a relevant engineering/applied science field.
• 3+ years of hands-on engineering design experience, producing validated designs from competing specs (not just analysis).
• Proficient in at least one open-source simulation tool relevant to the domain.
• Strong Python (or equivalent) scripting skills.
• High attention to detail across units, boundary conditions, convergence, and physical realism.

• Experience designing engineering coursework, exam problems, or design challenges at graduate level.
• Familiarity with CI/CD pipelines or automated testing frameworks.
• Exposure to LLM evaluation, AI benchmarking, or training data curation.
• Cross-domain familiarity with Control Systems, Embedded/Robotics, or Power Systems.